Monthly Archive:: March 2016

Data Masking- Limiting Sensitive Data Exposure

Data masking is a technique of forming an architecturally similar but unoriginal edition of a company’s data that can be utilized for functions like user training and software testing. The purpose is to guard the original data while having a practical replacement for events when the actual data is not requisite.

Data masking is not identical to limiting the visibility of data in production databases from the users who do not have authorized access to it. In that case, the information is there in the database and is only not perceptible to the unauthorized users. There are a number of …

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Securing Vital Client Data

Data is an organization’s most worthy asset and with this, it also becomes essential to keep it safe. It is a vital part of the contemporary marketer’s toolkit, but it can be difficult to handle and protect.

The confidentiality and security of client data must be the main concern for every organization that functions online and stores business information. This employs to all types of marketing. However, email can be especially sensitive as many companies will be using refined segmentation and aiming campaigns that implicate maintaining lots of data on file. Moreover, as many people now operating online marketing using …

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Discovering and Assessing the Database Vulnerabilities

Every organization requires places to store corporate information and data. That data often incorporates assistance data such as- Personally Identifiable Information, Organization’s HR Data and Financial Information. The privacy and security of this information are very necessary. To meet the organization’s objectives of data security and compliance, there is a need to discover and assess the location of database vulnerabilities and the critical data.

  • Examine the Vulnerabilities- It is necessary to understand the vulnerabilities that put databases to SQL injection exposure. Malware may consider exploiting well-known database vulnerabilities. The unpatched databases are made an easy target. Unsteady authentication rules can
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Major Database Security Threats

In recent years, Databases have become one of the most compromised assets. The rationale behind why databases are under attack frequently is that the databases contain vital client records and other sensitive organization data.

When malicious insiders and hackers gain access to organization’s sensitive and confidential data, they can instantly extract value, inflict damage or impact activities of the business. Besides affecting the reputation of the business and causing, data breaches can also result in fines, legal fees, and regulatory violations.

The threats outlined here apply to traditional databases and Big Data technologies as well.

Misuse of Vulnerable and Wrongly

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What Challenges are there to Mask Data in Non-Production Environments?

In recent years, protecting the organization’s crucial data in the non-production environment has turned out to be one of the critical functions. The sensitive and relevant information should be substituted with reasonable values. This permits production data to be securely used for testing, development, and outsource partners or other non-production uses.

Organizations have taken the data security threats seriously and have expanded to deal with these problems as fast as possible knowing the effects. Though the concept of merely eliminating sensitive data from non-production environment appears to be easy, it can cause severe challenges in a range of facets.


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What Data to Mask using Data Masking?

The most frequent misconception on the subject of data masking is the thought that “our data is not appropriate for anonymization as many test databases require the original data. The real information might be necessary for single database – however, it is improbable to be needed in each test database.

  • Employ a Range of Data Masking Techniques: A logical procedure is to have a range of masking methods for varying objectives.These masking methods will be adjusted to the level of data exposure and the extent of regulations maintained.
  • Light Masking on a Fire-Fighting or Bug-Fix Database: One of the main
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Application-layer filtering in Firewalls

A database firewall is designed to prevent particular kinds of traffic from passing through the external Internet network to the internal network. This facilitates the database administrators to manage what penetrates in the local network and keep unwanted data out. Besides filtering, this prevents internal users from transferring various forms of data, or transferring data to specified locations.

Application-layer firewalls can recognize the traffic passing through them and permit or refuse traffic based on the data content. Host-based firewalls intended to block unwanted content on the Web that is derived from keywords covered in the Web pages are a type …

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How is a Database Firewall used?

A firewall is a method designed to prevent unauthorized access to or from a private network. The database firewalls can be applied to both hardware and software, or an arrangement of both.

Database firewalls are often used to thwart unauthorized Internet users from accessing the private networks joined to the Internet, particularly intranets. All messages incoming or outgoing the intranet pass through the firewall, which inspects every message and blocks the ones that do not fulfill the specific security criterion.

The key features of the firewall protection comprise the following:

  • Varied degree of protection based on the location of the
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Key Data Masking Tools

Ever since the advent of private and sensitive information, there have been attackers that have tried to reach that data and use it for malicious purposes.

Many data masking software have been developed to make the task of accessing sensitive data ineffective. Each of the techniques has their strengths and weaknesses with each technique typically being best applied to a specific data type.

Following are the key data masking tools:

  • Substitution
    It refers to randomly substituting the contents of a column of data with entirely unrelated data, but the data looks identical to original data. Substitution is one of the
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Database Firewall and Intrusion Detection

Firewalls are used to guard home networks as well as corporate networks. A standard firewall program or hardware device filters all data coming from the Internet to your network or computer system. Many types of firewall techniques will avert possibly unsafe data from getting through; intrusion detection is one of such technique which is available in many firewalls.

What is Intrusion Detection?

Intrusion detection is a highly developed feature of the firewall, and a lot of firewalls such as ICF are short of this feature. Intrusion detection systems (IDSs) can recognize attack signatures or patterns, cause alarms to aware the …

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